Senior Computer Vision Engineer

Senior Computer Vision Engineer

Full-Time 65440 - 87260 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Design and develop cutting-edge computer vision algorithms for real-time sports tracking.
  • Company: Join Hawk-Eye Innovations, a leader in sports technology with a collaborative culture.
  • Benefits: Enjoy competitive salary, hybrid working, generous leave, and wellness perks.
  • Other info: Be part of a diverse team with excellent career growth opportunities.
  • Why this job: Make an impact in sports tech while working with advanced algorithms and technologies.
  • Qualifications: Strong experience in computer vision, modern C++, and algorithm optimisation.

The predicted salary is between 65440 - 87260 £ per year.

Join Our Team at Hawk-Eye Innovations

Location: Hybrid working – minimum 2 days per week in the office

Office locations: Basingstoke, London or Bristol

Contract: Permanent, Full-Time

Salary: £65,440 – £87,260

Hi, I’m James Sharam, Head of Computer Vision at Hawk-Eye Innovations. I’m looking for a Senior Computer Vision Engineer to join our growing team. This is a key role focused on real-time skeletal, ball and game object tracking for multiple sports. A strong background in mathematics and modelling is encouraged. If that kind of technical challenge excites you, I’d love to hear from you.

About the Role

We’re looking for a Computer Vision Engineer – Algorithms to join our Computer Vision team at Hawk-Eye Innovations. This role is suited to an experienced engineer who enjoys owning complex algorithmic systems and seeing them operate in real-world, production environments. The role is strongly algorithm-focused, with an emphasis on accuracy, performance, robustness, and system-level thinking, spanning modern C++, multi-camera geometry, cross-platform deployments, and cloud-enabled pipelines.

What You’ll Work On

  • Designing, developing, and improving ball and player tracking algorithms using multi-camera systems
  • Owning and evolving multi-view geometry solutions for accurate, court-wide tracking
  • Developing robust approaches to occlusion handling, recovery, and failure modes in fast-paced sports scenarios
  • Enhancing and maintaining mature, long-running computer vision systems used in live production
  • Optimising algorithms for performance and reliability, including CPU and GPU considerations
  • Contributing to cross-platform systems, ensuring algorithms run consistently across environments
  • Supporting the integration of algorithms into cloud-enabled and distributed systems
  • Working in an agile environment to deliver robust, production-ready solutions at scale

Key Responsibilities

  • Lead the development and improvement of computer vision algorithms from concept through to production
  • Design, implement, test, and validate complex algorithmic features
  • Take ownership of algorithmic components and drive their long-term maintainability and technical quality
  • Collaborate closely with engineers across computer vision, tracking, tooling, and platform teams
  • Contribute to technical discussions around architecture, performance, scalability, and deployment
  • Identify weaknesses in existing approaches and propose pragmatic improvements
  • Share progress, decisions, and learnings with the wider team
  • Support and mentor other engineers through code reviews and technical guidance

Skills, Knowledge, and Experience

We’re looking for someone with:

  • Strong commercial experience developing computer vision algorithms
  • Advanced knowledge of modern C++, working within large, production codebases
  • Strong understanding of performance optimisation, including CPU and GPU workloads
  • Solid experience with image processing, geometry, and multi-camera systems
  • Experience working with cross-platform systems and real-world deployment environments
  • Familiarity integrating algorithmic components into cloud-based or distributed systems
  • Strong debugging skills and the ability to reason about complex system behaviour
  • Confident use of Git and Visual Studio in collaborative engineering environments

Nice to have (but not essential):

  • Experience with CUDA or GPU acceleration
  • Awareness of concurrency, networking, or operating system concepts
  • Experience deploying or supporting algorithms in cloud environments
  • Interest in machine learning techniques and related libraries

Reward, Benefits, and Wellness

UK Benefits

  • 25 days annual leave (excluding bank holidays)
  • Enhanced pension scheme with 5% matching
  • Hybrid working model
  • Complimentary Unmind wellbeing app
  • Onsite gym (Basingstoke)
  • Sony Group Company discounts

Hungary Benefits

  • Annual leave in line with local labour law
  • Hybrid working model (2 days per week in the office)
  • Access to sporting events and tickets
  • Sony Group Company discounts
  • Cafeteria benefits include: SZÉP Card, Nursery & Kindergarten contributions, Annual MOL Bubi Pass, Private medical insurance, Life & accident insurance, MindentMent Dental Clinic discounts, Seniority awards, Employee Assistance Program

Equal Opportunity and Inclusion

As an active part of a culturally and socially diverse society, Sony Sports Technology is committed to building a diverse and inclusive workforce. We employ, retain, promote, and treat all employees and applicants fairly, based on skills, qualifications, and professional experience. Our commitment is to provide a respectful and inclusive environment where people can contribute, develop, and succeed.

Senior Computer Vision Engineer employer: HEI

Hawk-Eye Innovations is an exceptional employer for Computer Vision Engineers, offering a dynamic hybrid working environment in Budapest that fosters collaboration and innovation. With a strong emphasis on continuous learning and professional growth, employees are encouraged to take ownership of their projects while enjoying exclusive perks such as access to sporting events and comprehensive wellness benefits. Join a passionate team dedicated to developing cutting-edge technology that shapes the future of elite sports.

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Contact Details:

HEI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Computer Vision Engineer

✨Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at HEI or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

✨Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to HEI.

✨Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like HEI.

✨Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like HEI that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Senior Computer Vision Engineer

Computer Vision Algorithms
Modern C++
Performance Optimisation
Image Processing
Multi-Camera Systems
Cross-Platform Systems
Cloud-Based Systems Integration

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at HEI.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at HEI and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at HEI

✨Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

✨Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If HEI uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

✨Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

✨Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.